Downloads · 30 days
8
22% of all-time downloads
gua-spa-2023-langid-ner-multilingual-bert-gn-base-cased
jreyesp/gua-spa-2023-langid-ner-multilingual-bert-gn-base-cased
gua-spa-2023-langid-ner-multilingual-bert-gn-base-cased is a token classification model from jreyesp. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
37
Public
Parameters
177M
709 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors709 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Nov 6, 2025
- Updated
- Nov 6, 2025
- SHA
- eb2eb84c
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
gua-spa-2023-langid-ner-multilingual-bert-gn-base-cased
This model is a fine-tuned version of mmaguero/multilingual-bert-gn-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5469
- Precision: 0.1284
- Recall: 0.0627
- F1: 0.0843
- Accuracy: 0.5285
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 0.5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.5 | 36 | 1.5850 | 0.1194 | 0.0548 | 0.0751 | 0.5186 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Nov 6, 2025
- Updated
- Nov 6, 2025